Which is the Cognitive Status of Patients with Epilepsy Undergoing Intracranial Presurgical Studies, and How is This Affected by Antiepileptic Drugs?

Grewe, Philip; Bien, Christian G.

doi:10.1007/978-3-031-20910-9_2

Cited by 1 publication

(1 citation statement)

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“…Therefore, most patients showed heightened depressive symptoms. Depression is a common comorbidity in patients with epilepsy (for a review, see Balzekas et al, 2021;Grewe & Bien, 2023;Korczyn et al, 2013), and it is possible that a depressive mood enhances processing of negative facial information in the face processing network and amygdala (Stuhrmann et al, 2011) in the patient group. These differences between the groups might also account for the somewhat reduced behavioral performance in patients compared with HC by impacting recognition of emotional faces, a phenomenon that has been demonstrated in patients with temporal lobe epilepsy (Bora & Meletti, 2016;Meletti et al, 2003;Sedda et al, 2013).…”

Section: Limitations and Outlookmentioning

confidence: 99%

Amygdala and cortical gamma‐band responses to emotional faces are modulated by attention to valence

Weidner,

Moratti,

Schindler

et al. 2024

Psychophysiology

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The amygdala might support an attentional bias for emotional faces. However, whether and how selective attention toward a specific valence modulates this bias is not fully understood. Likewise, it is unclear whether amygdala and cortical signals respond to emotion and attention in a similar way. We recorded gamma‐band activity (GBA, > 30 Hz) intracranially in the amygdalae of 11 patients with epilepsy and collected scalp recordings from 19 healthy participants. We presented angry, neutral, and happy faces randomly, and we denoted one valence as the target. Participants detected happy targets most quickly and accurately. In the amygdala, during attention to negative faces, low gamma‐band activity (LGBA, < 90 Hz) increased for angry compared with happy faces from 160 ms. From 220 ms onward, amygdala high gamma‐band activity (HGBA, > 90 Hz) was higher for angry and neutral faces than for happy ones. Monitoring neutral faces increased amygdala HGBA for emotions compared with neutral faces from 40 ms. Expressions were not differentiated in GBA while monitoring positive faces. On the scalp, only threat monitoring resulted in expression differentiation. Here, posterior LGBA was increased selectively for angry targets from 60 ms. The data show that GBA differentiation of emotional expressions is modulated by attention to valence: Top‐down‐controlled threat vigilance coordinates widespread GBA in favor of angry faces. Stimulus‐driven emotion differentiation in amygdala GBA occurs during a neutral attentional focus. These findings align with a multi‐pathway model of emotion processing and specify the role of GBA in this process.

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